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IDA
2007
Springer
13 years 7 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
SIGPLAN
2008
13 years 7 months ago
An aspect-oriented approach to the undergraduate programming language curriculum
Three key forces are shaping the modern Computer Science (CS) curriculum: (1) new topics/courses are squeezing out existing ones; (2) a focus on "big picture" and interd...
Mark A. Sheldon, Franklyn A. Turbak
IJON
2007
90views more  IJON 2007»
13 years 7 months ago
Spatially organized spike correlation in cat visual cortex
Inspired by optical recordings from visual cortex which show maps of orientation selectivity, and the finding that very similar patterns of population activity occur when the neu...
Denise Berger, David Warren, Richard Normann, Amos...
BMCBI
2005
121views more  BMCBI 2005»
13 years 7 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
TC
1998
13 years 7 months ago
Abstraction Techniques for Validation Coverage Analysis and Test Generation
ion Techniques for Validation Coverage Analysis and Test Generation Dinos Moundanos, Jacob A. Abraham, Fellow, IEEE, and Yatin V. Hoskote —The enormous state spaces which must be...
Dinos Moundanos, Jacob A. Abraham, Yatin Vasant Ho...